AWS Databricks Architect

LTM

$145K — $175K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience in data engineering/architecture or big data platform implementation in AWS and Azure
  • Strong hands-on experience with Databricks platform architecture, workspace setup, and cluster configuration
  • Expertise in AWS services such as S3, IAM, VPC, Glue, Lambda, and CloudWatch
  • Expertise in Azure services including ADLS, Azure Data Factory, Synapse, Key Vault, and Entra ID
  • Strong knowledge of Apache Spark, PySpark, SQL, Delta Lake, and Lakehouse architecture
  • Experience with data security, governance, access controls, and Unity Catalog
  • Hands-on experience with performance tuning, debugging, and production support of Databricks workloads

Responsibilities

  • Design and architect comprehensive Databricks Lakehouse solutions across AWS and Azure
  • Define data architecture patterns for effective ingestion, transformation, storage, analytics, and reporting
  • Lead implementation of Delta Lake medallion architecture and Databricks SQL
  • Optimize Apache Spark jobs, clusters, notebooks, and workflows for performance and cost-efficiency
  • Implement data governance and security best practices across cloud platforms
  • Collaborate with various teams to deliver quality data solutions
  • Guide CI/CD practices and production deployment for Databricks

Benefits

  • Onsite work location in Rartian, NJ
  • Opportunity for technical leadership in a dynamic environment
  • Involvement with cutting-edge cloud technologies and solutions
  • Collaboration with cross-functional teams including data science and DevOps
  • Exposure to enterprise-grade Databricks implementations and industry practices
Full Job Description
Role description

AWS Databricks Architect

Location Rartian NJ Onsite

"Experience 10 or more years

Role Summary

We are looking for an experienced AWS Databricks Architect to design implement and optimize scalable Lakehouse solutions across AWS as well as Azure cloud platforms with 10 years of experience The ideal candidate will provide technical leadership in data architecture platform engineering data governance performance optimization and enterprise grade Databricks implementations

Key Responsibilities

Design and architect end to end Databricks Lakehouse solutions across AWS and along with Azure preferrably environments

Define scalable data architecture patterns for ingestion transformation storage analytics and reporting workloads

Lead implementation of Delta Lake medallion architecture Databricks SQL Unity Catalog and workflow orchestration

Optimize Apache Spark jobs clusters notebooks pipelines and workloads for performance reliability and cost efficiency

Implement security access control secrets management data governance and compliance best practices across cloud platforms

Collaborate with data engineering BI data science DevOps and business teams to deliver highquality data solutions

Guide CICD infrastructureascode monitoring ing and production deployment practices for Databricks workloads

Provide technical leadership architecture reviews troubleshooting support and mentoring to project teams

Mandatory Skills

12 plus years of experience in data engineering data architecture or big data platform implementation in AWS cloud platform and knowledge in Azure platform as well

Strong handson experience with Databricks platform architecture workspace setup cluster configuration jobs notebooks and workflow orchestration

Expertise in AWS services such as S3 IAM VPC Glue Lambda CloudWatch and related data platform services

Expertise in Azure services such as ADLS Azure Data Factory Azure Synapse Key Vault Entra ID and Azure Monitor

Strong knowledge of Apache Spark PySpark SQL Delta Lake and Lakehouse architecture concepts

Experience with data security governance access controls Unity Catalog encryption and cloud networking concepts

Handson experience with performance tuning cost optimization debugging and production support of Databricks workloads

Good understanding of CICD Git Terraform or equivalent infrastructureascode tools and DevOps practices"

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